Awesome Deep learning papers and other resources

A list of recent papers regarding deep learning and deep reinforcement learning. They are sorted by time to see the recent papers first. I will renew the recent papers and add notes to these papers.

You should find the papers and software with star flag are more important or popular.

Table of Contents

• Papers
• Model Zoo
• Pretrained Model
• Courses
• Books
• Tutorials
• Software
• Applications
• Awesome Projects
• Corpus

Papers

• 2017 year
  • deep learning
  • deep reinforcement learning
  • natural language process
• 2016 year
  • deep learning
  • deep reinforcement learning
  • natural language process
• 2015 year
• 2014 year
• 2013 year
• 2012 year
• 2011 year
• 2010 year
• before 2010 year

Model Zoo

• 2012 | AlexNet: ImageNet Classification with Deep Convolutional Neural Networks. pdf code
• 2013 | RCNN: Rich feature hierarchies for accurate object detection and semantic segmentation. arxiv code
• 2014 | CGNA: Conditional Generative Adversarial Nets. arxiv code
• 2014 | DeepFaceVariant: Deep Learning Face Representation from Predicting 10,000 Classes. pdf code
• 2014 | GAN: Generative Adversarial Networks. arxiv code
• 2014 | GoogLeNet: Going Deeper with Convolutions. pdf code
• 2014 | OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. arxiv code
• 2014 | SPPNet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. arxiv code
• 2014 | VAE: Semi-Supervised Learning with Deep Generative Models. arxiv code
• 2014 | VGGNet: Very Deep Convolutional Networks for Large-Scale Image Recognition. arxiv code
• 2015 | DCGAN: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. arxiv code
• 2015 | DRAW: A Recurrent Neural Network For Image Generation. arxiv code
• 2015 | Global And Local Attention: Effective Approaches to Attention-based Neural Machine Translation. arxiv code
• 2015 | FaceNet: A Unified Embedding for Face Recognition and Clustering. arxiv code
• 2015 | Fast R-CNN. arxiv code
• 2015 | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. arxiv code
• 2015 | FCNT: Visual Tracking with Fully Convolutional Networks. pdf code
• 2015 | Inception V3: Rethinking the Inception Architecture for Computer Vision. arxiv code
• 2015 | LAPGAN: Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. arxiv code
• 2015 | NeuralGPU: Neural GPUs Learn Algorithms. arxiv code
• 2015 | Pointer Networks. arxiv code
• 2015 | ResNet: Identity Mappings in Deep Residual Networks. arxiv arxiv2, arxiv3 code
• 2015 | Skip-Thought Vectors. pdf code
• 2015 | Transformer: Spatial Transformer Networks. arxiv code
• 2016 | Domain Separation Networks. arxiv code
• 2016 | Dp_sgd: Deep Learning with Differential Privacy. arxiv code
• 2016 | EnergyGAN: Energy-based Generative Adversarial Network. arxiv code
• 2016 | Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization. arxiv code
• 2016 | Im2txt: Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. arxiv code
• 2016 | InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. arxiv code
• 2016 | Multiple_teachers: Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data. arxiv code
• 2016 | Neural Programmer: Learning a Natural Language Interface with Neural Programmer. arxiv code
• 2016 | PixelCNN: Conditional Image Generation with PixelCNN Decoders. arxiv code
• 2016 | Pix2Pix: Image-to-Image Translation with Conditional Adversarial Networks. arxiv code
• 2016 | PVANet: Lightweight Deep Neural Networks for Real-time Object Detection. arxiv code
• 2016 | R-FCN: Object Detection via Region-based Fully Convolutional Networks. arxiv code
• 2016 | SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. arxiv code
• 2016 | SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size. arxiv code
• 2016 | StreetView Tensorflow Recurrent End-to-End Transcription (STREET) Model. arxiv code
• 2016 | Swivel: Improving Embeddings by Noticing What's Missing. arxiv code
• 2016 | SyntaxNet: Globally Normalized Transition-Based Neural Networks. arxiv code
• 2016 | Textsum: Sequence-to-Sequence with Attention Model for Text Summarization. pdf code
• 2016 | VGNA: Generative Adversarial Networks as Variational Training of Energy Based Models. arxiv code
• 2017 | Learning to Remember Rare Events. pdf code
• 2017 | LFADS - Latent Factor Analysis via Dynamical Systems. arxiv code
• 2017 | SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. arxiv code
• 2017 | WGAN: Wasserstein GAN. arxiv code
• 2017 | BEGAN: Boundary Equilibrium Generative Adversarial Networks. arxiv code

Pretrained Model

• Aligning the fastText vectors of 78 languages
• Available pretrained word embeddings
• Inception-v3 of imagenet
• Caffe2 Model Repository
• Chinese word vectors
• Dependency-Based Word Embeddings.
• Development kit for MIT Scene Parsing Benchmark
• English word vectors
• GloVe: Global Vectors for Word Representation
• Model of the deep residual network used for cifar10
• Pre-Trained Doc2Vec Models
• Pre-trained Show and Tell: A Neural Image Caption Generator
• Pre-trained word vectors ⭐
• Pre-trained word vectors of 30+ languages ⭐
• ResNet in TensorFlow Pretrain Model
• Single Image 3D Interpreter Network
• Source code and pretrained model for webcam pix2pix
• TensorFlow VGG-16 pre-trained model
• Trained image classification models for Keras
• VGGNets for Scene Recognition
• ZF_UNET_224 Pretrained Model

Courses

• [Berkeley] CS294: Deep Reinforcement Learning
• [Berkeley] Stat212b：Topics Course on Deep Learning
• [CUHK] ELEG 5040: Advanced Topics in Signal Processing(Introduction to Deep Learning)
• [David Silver] RL Course
• [Emory University] CS584: Deep Learning
• [Google] Udacity Deep Learning Online Course
• [Hinton] Neural Networks for Machine Learning
• [Hvass Laboratories] TensorFlow
• [Jeremy Howard] Deep Learning For Coders
• [MIT] Practical Deep LeTensorFlowarning For Coders
• [MIT] S094: Deep Learning for Self-Driving Cars
• [MIT] S191: Introduction to Deep Learning
• [NYU] Deep Learning by Prof. Yann LeCun
• [Oxford] Deep Learning Course
• [Oxford] Deep Learning by Prof. Nando de Freitas
• [Paris Saclay]Deep Learning course: lecture slides and lab notebooks
• [Stanford] CS231n: Convolutional Neural Networks for Visual Recognition
• [Stanford] CS20SI: Tensorflow for Deep Learning Research
• [Stanford] CS224n: Natural Language Processing with Deep Learning
• [Stanford] CS 228: Probabilistic Graphical Models
• [Toronto] CSC 2541 Fall 2016:Differentiable Inference and Generative Models
• [Utah] Applied Computational Genomics Course at UU
• [YouTube]OpenCV with Python for Image and Video Analysis
• [吴立德] 《深度学习课程》
• [李宏毅] Machine Learning and having it Deep and Structured
• [林轩田] 机器学习基石

Books

• Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 中文版本
• Deep Learning Tutorial by LISA lab, University of Montreal
• Documentation on all topics that I learn on both Artificial intelligence and machine learning.
• Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python
• Neural Networks and Deep Learning by Michael Nielsen
• 神经网络与深度学习.邱锡鹏
• UFLDL Tutorial
• Rules of Machine Learning: Best Practices for ML Engineering
• Reinforcement Learning: An Introduction. code
• Reinforcement LearningState-of-the-Art
• A Course in Machine Learning
• 深度学习入门 by PaddlePaddle
• TensorFlow For Machine Intelligence
• First Contact With TensorFlow
• Learning scikit-learn: Machine Learning in Python
• Neural Networks: Tricks of the Trade (Lecture Notes in Computer Science)
• Scikit-learn 秘籍
• Python Data Science Handbook

Tutorials

• UFLDL Tutorial 1
• UFLDL Tutorial 2
• Deep Learning for NLP (without Magic)
• A Deep Learning Tutorial: From Perceptrons to Deep Networks
• Deep Learning from the Bottom up
• Theano Tutorial
• Neural Networks for Matlab
• Using convolutional neural nets to detect facial keypoints tutorial
• Torch7 Tutorials
• The Best Machine Learning Tutorials On The Web
• VGG Convolutional Neural Networks Practical
• TensorFlow tutorials
• More TensorFlow tutorials
• TensorFlow Python Notebooks
• Keras and Lasagne Deep Learning Tutorials
• Classification on raw time series in TensorFlow with a LSTM RNN
• Using convolutional neural nets to detect facial keypoints tutorial
• TensorFlow-World

Software

• Python
  • Aorun Deep Learning over PyTorch
  • Chainer Chainer bridge the gap between algorithms and implementations of deep learning.
  • ChainerRL A deep reinforcement learning library built on top of Chainer.
  • DeepPy A Pythonic deep learning framework built on top of NumPy.
  • Deepnet A GPU-based python implementation of deep learning algorithms.
  • Deepgaze A computer vision library for human-computer interaction based on CNNs
  • Edward A library for probabilistic modeling, inference, and criticism.
  • Elephas Distributed Deep learning with Keras & Spark.
  • Gensim Deep learning toolkit implemented in python programming language intended for handling large text collections, using efficient algorithms.
  • Hebel A library for deep learning with neural networks in Python using GPU acceleration with CUDA through PyCUDA.
  • Keras Deep Learning library for Theano and TensorFlow. ⭐
  • Kur Descriptive Deep Learning. ⭐
  • Mujoco-py MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
  • Neon Neon is Nervana's Python based Deep Learning framework.
  • Pyclustering A Python, C++ data mining clustering, graph coloring algorithms, oscillatory networks, neural networks library.
  • PyTorch Tensors and Dynamic neural networks in Python with strong GPU acceleration. ⭐
  • Scikit-Learn Machine learning in Python. ⭐
    • Semisup-Learn Semi-supervised learning frameworks for Python
  • Skll SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  • Sonnet TensorFlow-based neural network library
  • TensorFX An end to end application framework to simplifies machine learning with TensorFlow
  • Theano Mathematical library in Python, maintained by LISA lab
    • Pylearn2 Theano-based deep learning libraries
    • Blocks A framework that helps you build neural network models on top of Theano ⭐
    • Lasagne Lightweight library to build and train neural networks in Theano.
  • WebDNN Fastest DNN Execution Framework on Web Browser
• C++
  • Caffe Deep learning framework by the BVLC ⭐
  • clDNN Compute Library for Deep Neural Networks
  • CNTK The Microsoft Cognitive Toolkit.
  • DeepDetect Open Source Deep Learning Server & API
  • DIGITS A new system for developing, training and visualizing deep neural networks.
  • Dlib A modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++.
  • DSSTNE An Amazon developed library for building Deep Learning (DL) machine learning (ML) models.
  • Jik Lightweight Deep Learning Framework
  • Kann A lightweight C library for artificial neural networks
  • PaddlePaddle An easy-to-use, efficient, flexible and scalable deep learning platform.
  • MaTEx Machine Learning Toolkit for Extreme Scale
  • MRPT The Mobile Robot Programming Toolkit (MRPT)
  • MXNet A flexible and efficient deep learning library for heterogeneous distributed systems with multi-language support ⭐
    • MinPy Providing a high performing and flexible deep learning platform, by prototyping a pure NumPy interface above MXNet backend.
  • Neural Designer Neural Designer is the most advanced analytics software
  • NNabla NNabla is a deep learning framework that is intended to be used for research, development and production
  • NVIDIA TensorRT High performance deep learning inference for production deployment
  • Singa An Apache Incubating project for developing an open source deep learning library.
  • Tensorflow An open source software library for numerical computation using data flow graph by Google ⭐
    • Polyaxon Deep Learning library for TensorFlow for building end to end models and experiments.
  • Tiny-dnn A C++11 implementation of deep learning.
• Java
  • Stanford CoreNLP A Java suite of core NLP tools.
  • Deeplearning4J Neural Net Platform.
  • NeuralNetworks This is a Java implementation of some of the algorithms for training deep neural networks.
  • NewralNet A lightweight, easy to use and open source Java library for experimenting with feed-forward neural nets and deep learning.
• Scala
  • BigDL Distributed Deep learning on Apache Spark.
• Julia
  • Knet The Koç University deep learning framework implemented in Julia.
  • Mocha A Deep Learning framework for Julia, inspired by the C++ framework Caffe.
• Js
  • Brain Brain.js is a library of JavaScript neural networks.
  • Deeplearnjs A hardware-accelerated machine intelligence library for the web.
  • Keras-js Run Keras models (tensorflow backend) in the browser, with GPU support.
  • Neataptic Flexible neural network library with advanced neuroevolution
  • Neurojs A javascript deep learning and reinforcement learning library.
• Matlab
  • MatConvNet CNNs for MATLAB
  • DLMatFramework Deep Learning Matlab Framework
• Lua
  • OpenNMT Open-Source Neural Machine Translation
  • Torch7 Deep learning library in Lua, used by Facebook and Google Deepmind ⭐
• Php
  • PHP-ML Machine Learning library for PHP
• Dub
  • Vectorflow A minimalist neural network library optimized for sparse data and single machine environments.

Applications

• pytorch
  • Adversarial Autoencoders
  • A implementation of WaveNet with fast generation
  • A fast and differentiable QP solver for PyTorch.
  • A natural language processing toolkit using state-of-the-art deep learning models. ⭐
  • A PyTorch Implementation for Triplet Networks
  • A PyTorch Implementation of Single Shot MultiBox Detector.
  • A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing
  • A short tutorial on performing fine tuning or transfer learning in PyTorch.
  • A utility library around PyTorch
  • Comprehensive Data Augmentation and Sampling for Pytorch
  • CNNs for Sentence Classification in PyTorch
  • Convolutional recurrent network in pytorch
  • Deep Q-Learning Network in pytorch
  • Draw like Bob Ross using the power of Neural Networks
  • Fast Neural Style for Image Style Transform by Pytorch
  • Faster RCNN with PyTorch
  • Highway networks implemented in PyTorch.
  • Image Classification Project Killer in PyTorch
  • Image-to-image translation in PyTorch ⭐
  • InferSent is a sentence embeddings method that provides semantic sentence representations.
  • LeafSnap replicated using deep neural networks to test accuracy compared to traditional computer vision methods.
  • Lightweight implementation of neural style in Pytorch with SqueezeNet
  • OpenNMT: Open-Source Neural Machine Translation in PyTorch ⭐
  • Open source person re-identification library in python ⭐
  • Probabilistic Programming and Statistical Inference in PyTorch
  • PyTorch Implementation of CycleGAN and SGAN for Domain Transfer
  • PyTorch implementation of Fully Convolutional Networks
  • Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution
  • pytorch implementation of grammar variational autoencoder
  • PyTorch implementation of Global Vectors for Word Representation
  • PyTorch implementation of the Value Iteration Networks
  • PyTorch Marvelous ChatBot ⭐
  • PyTorch module to use OpenFace's nn4.small2.v1.t7 model
  • Pytorch Negative Sampling Loss
  • Pytorch Poetry Generation
  • Quickly comparing your image classification models with the state-of-the-art models
  • Semantic Segmentation Architectures Implemented in PyTorch
  • Sequence-to-Sequence learning using PyTorch
  • Sequence to Sequence Models with PyTorch
  • SSD: Single Shot MultiBox Object Detector, in PyTorch
  • t-SNE experiments in pytorch
  • Visualization of CNN in PyTorch
  • Visual Question Answering in Pytorch
  • Weight normalization
  • YOLOv2 in PyTorch
• theano
  • CNN-yelp-challenge-2016-sentiment-classification
  • Deep learning tutorial for PyData
  • Deep Neural Network for Sentiment Analysis on Twitter
  • Implementations of many popular deep learning models in Theano+Lasagne
• tensorflow
  • A framework for developing and evaluating reinforcement learning algorithms
  • A general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more.
  • A generic image detection program that uses tensorflow and a pre-trained Inception.
  • All kinds of text classificaiton models and more with deep learning ⭐
  • Applying transfer learning to a custom dataset by retraining Inception's final layer
  • An easy implement of VGG19 with tensorflow, which has a detailed explanation.
  • An experimentation system for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras. ⭐
  • An implementation of Pix2Pix in Tensorflow for use with frames from films
  • An implementation of skip-thought vectors in Tensorflow
  • A Practical Guide for Debugging TensorFlow Codes
  • A real-time object recognition application using Google's TensorFlow Object Detection API and OpenCV.
  • A set of Deep Reinforcement Learning Agents implemented in Tensorflow. ⭐
  • A simple baseline for 3d human pose estimation in tensorflow.
  • Aspect Based Sentiment Analysis using End-to-End Memory Networks
  • A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
  • A Tensorflow implementation of CNN-LSTM image caption generator architecture
  • A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks" ⭐
  • A TensorFlow implementation of Baidu's DeepSpeech architecture
  • A tiny implementation of Deep Q Learning, using TensorFlow and OpenAI gym
  • Char-RNN implemented using TensorFlow.
  • Chinese Handwriting Recognition with CNNs
  • Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
  • Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications
  • DeepColor: Automatic coloring and shading of manga-style lineart
  • Deep Learning based Python Library for Stock Market Prediction and Modelling
  • Deep LSTM siamese network for text similarity
  • Deepnlp:Deep Learning NLP Pipeline implemented on Tensorflow
  • Dynamic Memory Network implementation in TensorFlow
  • EAST : An Efficient and Accurate Scene Text Detector ⭐
  • Embedding Watermarks into Deep Neural Networks
  • Face Rank - Rank Face by CNN Model based on TensorFlow
  • Fast Multi(Interpolative) Style Transfer
  • Fast PixelCNN++: speedy image generation
  • Feature Importance in the Inception (v1) Network
  • Fully Convlutional Neural Networks for state-of-the-art time series classification
  • Fully differentiable deep-neural decision forest in tensorflow
  • GA3C: Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
  • Generic U-Net Tensorflow implementation for image segmentation
  • Implement SC-LSTM model for text generation in control of words, in Python/TensorFlow
  • Implementation of Generative Adversarial Networks, for Audio.
  • Implementation of Google's Tacotron in TensorFlow
  • Implementations of deep RL papers and random experimentation ⭐
  • Implementation of Monte Carlo Word Movers Distance in Python with TensorFlow
  • Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
  • Implementation of SmoothGrad as well as several other saliency techniques
  • Implementation of the Differentiable Neural Computer in Tensorflow
  • Interactive, node-by-node debugging and visualization for TensorFlow ⭐
  • LSTM Language Model with Subword Units Input Representations
  • Machine Learning on Sequential Data Using a Recurrent Weighted Average
  • Metasploit for machine learning.
  • Multilabel time series classification with LSTM
  • Named Entity Recognition using multilayered bidirectional LSTM
  • Named Entity Recognition using Recurrent Neural Networks in Tensorflow and TFLearn
  • NeuroNER: Named-entity recognition using neural networks.
  • Neural Relation Extraction implemented with LSTM in TensorFlow
  • Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition ⭐
  • OCR text recognition using tensorflow with attention ⭐
  • Photographic Image Synthesis with Cascaded Refinement Networks
  • PixelVAE with or without regularization
  • PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation ⭐
  • Realistic Handwriting with Tensorflow
  • Real-time Joint Semantic Reasoning for Autonomous Driving
  • RL course experiments
  • Raccoon Detector Dataset
  • Self-Driving Car Engineer Nanodegree
  • Sentiment Analysis with LSTMs in Tensorflow
  • Separating singing voice from music based on deep neural net in Tensorflow
  • Sequence prediction using recurrent neural networks(LSTM) with TensorFlow
  • Sequence-to-Sequence Grapheme-to-Phoneme toolkit
  • Simple embedding based text classifier inspired by fastText, implemented in tensorflow
  • Simple Recommender System using Denoising AutoEncoder, implemented using TensorFlow
  • Source code and pretrained model for webcam pix2pix
  • SSD in TensorFlow: Traffic Sign Detection and Classification
  • SSD: Single Shot MultiBox Detector in TensorFlow ⭐
  • Teach machine to write all we want ⭐
  • Tensorflow-based Distributed Factorization Machine ⭐
  • TensorFlow CNN for fast style transfer ⭐
  • Tensorflow implementation of attention mechanism for text classification tasks.
  • Tensorflow implementation of Dynamic Coattention Networks for Question Answering.
  • Tensorflow implementation of fast neural style transfer
  • Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation
  • Tensorflow implementation of YOLO : Real-Time Object Detection
  • Tensorflow for Time Series Applications
  • TensorFlow on iOS demo
  • TensorFlow on Spark
  • Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets ⭐
  • Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models
  • TensorForce: A TensorFlow library for applied reinforcement learning
  • Tutorials for deep learning
  • 使用TensorFlow实现的Sequence to Sequence的聊天机器人模型
  • Udacity SDC: Vehicle Detection ⭐
  • Using neural networks to build an automatic number plate recognition system ⭐
  • Various models and code for the paraphrase identification task, specifically with the Quora Question Pairs dataset.
  • 中文古诗自动作诗机器人
• Keras
  • A DCGAN to generate anime faces using custom mined dataset
  • A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
  • A neural network trained to help writing neural network code using autocomplete
  • Attention mechanism Implementation for Keras.
  • Automated deep neural network design with genetic programming ⭐
  • Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe
  • Deep Voice: Real-time Neural Text-to-Speech
  • Embedding Watermarks into Deep Neural Networks
  • Experimental implementation of novel neural network structures
  • Five video classification methods
  • Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
  • Implementation of all-neural speech recognition systems using Keras and Tensorflow
  • Implementation of some basic GAN architectures in Keras
  • Isolating vocals from music with a Convolutional Neural Network.
  • Keras Audio Preprocessors ⭐
  • Keras code and weights files for popular deep learning models.
  • keras-emoji-embeddings
  • Keras implementation of Deep Clustering
  • Keras implementation of Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  • Keras package for region-based convolutional neural networks
  • Python toolbox to create adversarial examples that fool neural networks
  • Sis: simple image search engine
  • Trained image classification models for Keras ⭐
  • Traffic Sign Recognition - Fine tuning VGG16 + GTSRB
  • Transfer learning for flight-delay prediction via variational autoencoders in Keras
  • Using Keras to implement recommender systems ⭐
  • Wasserstein DCGAN in Tensorflow/Keras
  • W-net: Self-Supervised Learning of Depthmap from Stereo Images.

Awesome Projects

• 15 AI and Machine Learning Events
• A curated list of awesome R packages and tools
• A curated list of awesome SLAM tutorials, projects and communities.
• A curated list of resources dedicated to bridge between coginitive science and deep learning
• A list of artificial intelligence tools you can use today
• A list of deep learning implementations in biology
• Awesome-2vec
• Awesome Action Recognition
• Awesome Adversarial Machine Learning
• Awesome ARKit
• Awesome Autonomous Vehicles
• Awesome bayesian deep learning
• Awesome deep vision web demo
• Awesome Caffe
• Awesome Deep Learning
• Awesome Deep learning papers and other resources
• Awesome Deep Learning Resources
• Awesome Deep Vision
• Awesome Explorables
• Awesome Knowledge Distillation
• Awesome Machine Learning On Source Code
• Awesome Most Cited Deep Learning Papers
• Awesome Public Datasets
• Awesome PyTorch ⭐
• Awesome-question-answering
• Awesome Reinforcement Learning
• Awesome Robotics
• Awesome Sentiment Analysis
• Awesome-SLAM-list
• Awesome Semantic Segmentation
• Awesome speech recognition papers
• Awesome speech recognition speech synthesis papers
• Awesome TensorFlow ⭐
• Chainer Info
• Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch ⭐
• Collection of reinforcement learners implemented in python.
• Curated list of python software and packages related to scientific research in audio
• Datasets for Natural Language Processing
• Datasets, Transforms and Models specific to Computer Vision
• Deep Learning for Recommendation Systems
• Deep Learning Model Convertors
• Deep Learning Papers Reading Roadmap
• Deep Learning Processor List
• Deep Learning Toolbox
• First International Workshop on Deep Learning and Music
• Generative Models
• HEPML Resources
• Machine Learning / Deep Learning Conferences
• Machine Learning Videos
• Machine Learning From Scratch
• Must-read papers on NRL/NE.
• Neural Networks on Silicon
• Over 7 million published research papers in Computer Science and Neuroscience.
• Paper list of multi-agent reinforcement learning (MARL)
• Really-awesome-gan
• Really-awesome-semantic-segmentation
• Related Paper of Efficient Deep Neural Networks
• Repository to research & share the machine learning articles
• Resources and codes about transfer learning and domain adaptation
• SCODE Word Embeddings using Substitute Words
• Speech and Natural Language Processing
• Summaries and notes on Deep Learning research papers
• TensorFlow and Deep Learning Tutorials
• TensorFlow Tutorial and Examples for beginners ⭐
• TensorFlow World Resources
• The GAN Zoo
• The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch ⭐
• Use PyTorch to implement some classic frameworks
• Various math-related things in Python code
• 机器学习资源 Machine learning
• 图像文本位置感知与识别的论文资源汇总
• 深度学习进行目标识别的资源列表

Corpus

• 用于对话系统的中英文语料
• 搜狗实验室
• 情感分析︱网络公开的免费文本语料训练数据集汇总
• 中文情感分析用词语集
• 人民日报切分/标注语料库
• 数据堂
• 哈工大信息检索研究中心(HIT CIR)语言技术平台共享资源
• 语料库在线
• 中文句结构树资料库
• 中文对白语料 chinese conversation corpus
• 联合国平行语料库
• 3 Million Instacart Orders, Open Sourced
• ACM Multimedia Systems Conference Dataset Archive
• A dataset for book recommendations: ten thousand books, one million ratings
• A dataset of 200k English plaintext jokes.
• A large-scale and high-qualityFMA: A Dataset For Music Analysis dataset of annotated musical notes.
• Alphabetical list of free/public domain datasets with text data for use in NLP
• An awesome list of high-quality datasets ⭐
• An awesome list of high-quality open datasets in public domains ⭐
• A new dataset for Attribute Based Classification and Zero-Shot Learning
• A New Multi-Turn, Multi-Domain, Task-Oriented Dialogue Dataset
• Chat corpus collection from various open sources
• [Cool Datasets](http://cooldataseWolfram Data Repositoryts.com/#Machine-Learning-Datasets) ⭐
• Cornell NLVR
• Corpora of misspellings for download
• DATASETS FOR DATA MINING
• Datasets of Annotated Semantic Relationships
• Datasets for Data Science and Machine Learning
• DeepDive Open Datasets ⭐
• FMA: A Dataset For Music Analysis
• Hard Drive Data and Stats
• Japanese Word Similarity Dataset
• Kaggle Datasets
• LLD - Large Logo Dataset
• Movie Review Data
• Multi-Domain Sentiment Dataset
• Pixiv Dataset Overview
• Some good papers I like
• The DBpedia Knowledge Base
• The Quick, Draw! Dataset
• TriviaQA: A Large Scale Dataset for Reading Comprehension and Question Answering
• Wolfram Data Repository